4/9/2023 0 Comments Terraer derived attribute![]() The bucket can be a number or an expression that evaluates to a positive integer value for each partition. This allows the data to be sorted into descending or ascending order.Ī decile rank arranges the data in order from lowest to highest and is done on a scale of 1 to 10 where each successive number corresponds to an increase of 10 percentage points.ĭecile buckets represent the number of ranked groups and are used to assign a ranking to a dimension (category) in the dataset. When the data is divided into deciles, a decile rank is assigned to each row in the data set. Deciles, quartiles, and percentiles allow flexibility and precision when ranking data with derived attributes.Ī decile is a method of splitting up a set of ranked data into 10 equal parts. To create a ranking based on one or more metrics (such as revenue, viewership duration, and so on) on a particular dimension (category), complex derived attributes are required. ![]() Identifying the top 1% of household income in a province or state, and providing a measure of the number of individuals moving out of that collective group over the last “n” months.Determine the churn rate based on subscription.This audience could be used to selectively target the sale of a new credit card offer. Identifying an audience who are in the top 10% of flyers based on their total miles traveled and have “Flyer” status.This would allow marketers to target a particular audience and sell a new subscriber package. Identifying the lowest 10% of subscribers based on viewership by channel.Some potential use cases for this feature might include: This data can then be marked for use in Real-time Customer Profile and used in downstream use cases such as creating highly focussed audiences. This enables you to derive attributes that can be directly accredited to an identifier, such as email addresses, device IDs, and phone numbers, and also derive attributes that are indirectly associated with that user or business profile.ĭerived attributes are needed for a variety of use cases when data is being analyzed on the data lake. These attributes can be calculated specifically for an individual user or for a business entity. Derived attributes address the need to build complex attributes such as decile, percentile, and quartile over simpler ones such as max, count, and mean. These attributes can be refreshed at any regular cadence and optionally published into your Real-time Customer Profile data. The derived attributes feature provides a convenient means to generate attributes of your choice from other information available in the data lake.
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